| Autor: |
Vivanco, Marta G., Palomino, Inmaculada, Martín, Fernando, Palacios, Magdalena, Jorba, Oriol, Jiménez, Pedro, Baldasano, José María, Azula, Oier |
| Zdroj: |
Computational Science & Its Applications - Iccsa 2009; 2009, p107-117, 11p |
| Abstrakt: |
The presence of high pollution levels in the atmosphere can produce damages to human health and ecosystems. Because of this reason, the prediction of air pollutant concentration is important to prevent any potential damage. Chemistry-transport models constitute a useful tool to quantify the presence of pollutants in the atmosphere. Input information, such as meteorology and emissions, has a strong influence on model results. Many research activities are focused on trying to reduce errors affecting input information. In this paper we have applied the CHIMERE photochemical model to simulate ozone, NO2 and SO2 in Spain for two sets of meteorological fields obtained with the MM5 and WRF meteorological models. An evaluation of the performance of the CHIMERE model for both meteorological data sets is presented. Very similar air pollutant concentrations were found for the three pollutants and for the two sets of meteorological information. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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